Prototype implementation of GMC with deep learning approach

Seistech project API (background)

Seistech coreAPI support for GMS and NZCode

• Large magnitude observed comparisons
• Small magnitude pilot test on KISTI
• EMOD3D Qs/Qp reading
• Hikurangi runs/poster
• Compare subduction empiricals with Hikurangi baseline
• Check standard deviation loading for  pre-proccessing version files

• USER students
• Subduction Cybershake

• Vs30 CPT / sCPT
• seistech

update/prepare/test Kisti env
include lastest changes/update in Adv_IM PR
integrate Ethan's Estimation Model

1. Get Jenkins working with Github : qcore, workflow, Pre-processing
2. Create a wiki page for Dropbox on NeSI 
3. Clean up Backlog
4. NeSI show case story
5. IMs for SimAtlas : Input files for all CS_20p6 (20p4 with 200m) ready to plot (In progress)

• Finalize the plot's (Download images via plotly.js) filename customization (Adopt Jason's feedback)
• Project Page
• NZ Code - Hazard Curve (On hold due to Project Page's higher priority)
• GMS Viewer - Adopt updated Selected GMs (On hold due to Project Page's higher priority)

Understand why Vs30 run_points.R isn't running for others (install on another computer...)

Creating subregions for geology categories
Compare old new fault files (CFM) with QGIS
Empirical plots for new models